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[CVPR 2024] The official repo for FlashAvatar
Simple Python library/structure to ablate features in LLMs which are supported by TransformerLens
🤢 LipSick: Fast, High Quality, Low Resource Lipsync Tool 🤮
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
RoMa: A lightweight library to deal with 3D rotations in PyTorch.
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)
Implementation of Nougat Neural Optical Understanding for Academic Documents
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Pythonic AI generation of images and videos
The simplest, fastest repository for training/finetuning medium-sized GPTs.
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
Neural Networks: Zero to Hero
Port of MediaPipe tflite models to PyTorch
This is a Pytorch implementation of deep image blending
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Interactive Data Visualization in the browser, from Python
FlatBuffers: Memory Efficient Serialization Library
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A latent text-to-image diffusion model
Hunt down social media accounts by username across social networks
FastAPI framework, high performance, easy to learn, fast to code, ready for production